Classification for Net

.NET Text and Document Classification API

Classify texts and documents in .NET applications using multiple taxonomies.

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Version 21.1 released

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// Create an instance of Classifier
var classifier = new GroupDocs.Classification.Classifier();

// Classify a PDF document using IAB-2 taxonomy
var response = classifier.Classify("document.pdf", ".", 3, Taxonomy.Iab2);

// Print the best class name and probability
Console.WriteLine(response.BestClassName);
Console.WriteLine(response.BestClassProbability);

dotnet add package GroupDocs.Classification

GroupDocs.Classification Overview

.NET solution for automated text and document classification using various taxonomies.

Classify Text and Documents with C#

Easily classify content using IAB-2, Document, and Sentiment taxonomies with GroupDocs.Classification for .NET.

Support for Multiple File Formats

Process various document types including PDF, DOC, DOCX, RTF, TXT, and more.

Flexible Classification Options

Choose the number of results to return and adjust precision/recall balance for Documents taxonomy.

Platform independence

GroupDocs.Classification for .NET supports the following operating systems, frameworks, and package managers

Supported file formats

GroupDocs.Classification for .NET supports operations with the following file formats.

Microsoft Office Formats

Word: DOC, DOCM, DOCX, DOT, DOTM, DOTX, RTF

OpenDocument & Other Formats

OpenOffice: ODT, OTT
Fixed Layout: PDF
Other: TXT

GroupDocs.Classification Features

Classify text and documents using advanced taxonomies and options.

Multiple Taxonomies

Supports IAB-2, Document, and Sentiment taxonomies for versatile classification.

Multi-Language Support

Perform sentiment classification in both English and Chinese.

Customizable Results

Specify the number of classification results to return.

Precision Control

Adjust precision/recall balance for Documents taxonomy classification.

Multiple File Formats

Compatible with various document formats including PDF, DOC, DOCX, RTF, and TXT.

Easy Integration

Seamlessly integrate with any .NET application, including ASP.NET and Windows apps.

Code samples

Some use cases of typical GroupDocs.Classification for .NET operations

Classify Text using IAB-2 Taxonomy

This example shows how to classify raw text using the IAB-2 taxonomy:

// Create a classification request
var request = new ClassifyRequest(new BaseRequest()
{
    Description = "Try Text classification"
}, "3");

// Get classification results
var response = apiInstance.Classify(request);

// Print the results
Console.WriteLine(response.ToString());

Sentiment Analysis of a Document

You can perform sentiment analysis on documents using the Sentiment taxonomy:

// Create an instance of Classifier
var classifier = new GroupDocs.Classification.Classifier();

// Classify a document using Sentiment taxonomy
var response = classifier.Classify("document.pdf", ".", 3, Taxonomy.Sentiment);

// Print the sentiment and probability
Console.WriteLine($"Sentiment: {response.BestClassName}");
Console.WriteLine($"Probability: {response.BestClassProbability}");